Children’s Perspective on Digital Picure Book: A Brief Analysis

Early exposure to symbolic media, such as pictures, drawings, paintings, photos, and videos, is common in western countries. Modern picture books coexist with electronic storybooks and other digital literature, expanding the environment in which young children develop and learn. Since the advent of...

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Bibliographic Details
Published in:International Journal on Recent and Innovation Trends in Computing and Communication
Main Author: Yang L.; Daimin G.
Format: Article
Language:English
Published: Auricle Global Society of Education and Research 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156126341&doi=10.17762%2fijritcc.v11i3.6336&partnerID=40&md5=79f2beacbcd1071dfe195da8fe21d15c
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Summary:Early exposure to symbolic media, such as pictures, drawings, paintings, photos, and videos, is common in western countries. Modern picture books coexist with electronic storybooks and other digital literature, expanding the environment in which young children develop and learn. Since the advent of new technologies, recommendations for kids' use of these gadgets have been covered in numerous papers. Young children and adults can engage in social interaction through picture books, which creates a wonderful chance for learning and teaching. This paper makes an analysis on children’s digital story book reading behavior. Initially, the features (considered questions) are clustered using k means clustering model. In order to analyze the children’s digital story book reading behavior, the questions are made on different drivers such as (i) Characteristics of story book, (ii) Interaction level and (iii) Child learning ability level. The questions are analyzed based upon the responses obtained from 100 respondents with 46 males and 54 females. Here, the study is done using ANOVA, regression analysis along with MSE, correlation and variance computation. Based upon the clustering outputs, the regression analysis is made on correlation and covariance metrics. © 2023 Peniero Tupas et al.
ISSN:23218169
DOI:10.17762/ijritcc.v11i3.6336